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reducing the overall recording workload that most health providers find tedious and time-consuming.

while failing to disclose the weights of the other two sizes.technical details allowed outsiders to make a more-informed assessment of capabilities by assessing the technical differences between the latest program and the programs immediate predecessors.

online debate has focused on whether the boasting of benchmarks means anything. Neither the blog nor the technical paper include key details that have been customary in years past.with almost no technical detail.

one has to wonder what the future of oversight and safety is for neural networks.  Googles lack of disclosure.

the most potent and risky models are also the most difficult to analyze.

The omission is particularly strange given that model cards were invented at Google by a team that included Margaret Mitchell.along with answering a few reader questions.

youll deep dive into ways that AI makes predictions.the course was a great experience and I got a lot out of it.

youll see how machines can learn and make amazing.I also explored Amazons free AI courses and free AI courses from OpenAI and DeepLearning.